Computer Science and Engineering, Seoul National University of Science and Technology
232 Gongneung-ro, Nowon-gu, Seoul, 01811, Korea Tel:+82-2-970-6707
Copyright © Seoul National University of Science and Technology. All Rights Reserved.
Faculty
Name |
Hyun-Soo Choi |
MAJOR |
Machine Learning, Deep Learning, Pattern Recognition |
TEL |
02-970-6711 |
E-mail |
choi.hyunsoo@seoultech.ac.kr |
Biography
Ph. D. in EE, Seoul National University, Korea.
B.S. in CSE, Korea University, Korea.
B.S. in CSE, Korea University, Korea.
Careers
2020 ~ 2021 Researcher, SK Telecom
2021 ~ 2023 Assistant Professor, Kangwon National University
2021 ~ Chief Technical Officer, Ziovision
2021 ~ 2023 Assistant Professor, Kangwon National University
2021 ~ Chief Technical Officer, Ziovision
Research Areas
Machine Learning, Deep Learning, Pattern Recognition
Teaching
Natural Language Processing, ETC
Selected Publications
- Imbalanced Data Classification via Cooperative Training of Classifier and Generative Adversarial Networks, IEEE Transactions on Neural Networks and Learning Systems, 33 (8), Aug 2022
Journal Papers
- PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation, IEEE Transactions on Dependable and Secure Computing (TDSC), in press
- ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records, Applied Science, 12(21), Nov 2022
- Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms, Frontiers in Neurology, 13, Aug 2022
- Imbalanced Data Classification via Cooperative Training of Classifier and Generative Adversarial Networks, IEEE Transactions on Neural Networks and Learning Systems, 33 (8), Aug 2022
- Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model, IEEE ACCESS, vol 10, pp 79061 - 79070, Aug 2022
- How Many Private Data are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study, Cancers, 14 (13), pp 3174, Jun 2022
- DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol 19, no. 2, Mar 2022
- Indirect Volume Estimation For Acute Ischemic Stroke From Diffusion Weighted Image Using Slice Image Segmentation, Journal of Personalized Medicine, 12(4), 521, Mar 2022
- Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information,IEEE Access, vol. 9, pp 123912 - 123926, Sep 2021
- The Message Passing Neural Networks for Chemical Property Prediction on SMILES, Methods, vol. 179, pp. 65-72, July 2020
- ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records, Applied Science, 12(21), Nov 2022
- Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms, Frontiers in Neurology, 13, Aug 2022
- Imbalanced Data Classification via Cooperative Training of Classifier and Generative Adversarial Networks, IEEE Transactions on Neural Networks and Learning Systems, 33 (8), Aug 2022
- Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model, IEEE ACCESS, vol 10, pp 79061 - 79070, Aug 2022
- How Many Private Data are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study, Cancers, 14 (13), pp 3174, Jun 2022
- DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol 19, no. 2, Mar 2022
- Indirect Volume Estimation For Acute Ischemic Stroke From Diffusion Weighted Image Using Slice Image Segmentation, Journal of Personalized Medicine, 12(4), 521, Mar 2022
- Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information,IEEE Access, vol. 9, pp 123912 - 123926, Sep 2021
- The Message Passing Neural Networks for Chemical Property Prediction on SMILES, Methods, vol. 179, pp. 65-72, July 2020
◾ Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.256, 2024최현수
◾ Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging, SCIENTIFIC REPORTS, vol.14 No.1, 2024최현수
◾ Deep Learning-Based Real-Time Organ Localization and Transit Time Estimation in Wireless Capsule Endoscopy, BIOMEDICINES, vol.12 No.8, 2024최현수
◾ A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index, Diagnostics, vol.14 No.11, 2024최현수
◾ A Deep Learning-Based Approach for Prediction of Vancomycin Treatment Drug Monitoring: Retrospective Data of Critically Ill Patients, JMIR Formative Research, vol.8, 2024최현수
◾ Explicit Feature Interaction-Aware Graph Neural Network, IEEE ACCESS, vol.12 pp.15438~15446, 2024최현수
◾ Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study, JOURNAL OF KOREAN MEDICAL SCIENCE, vol.39 No.5, 2024최현수
◾ In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables, Journal of Clinical Medicine, vol.13 No.1, 2023최현수
◾ Improving generalization performance of electrocardiogram classification models, PHYSIOLOGICAL MEASUREMENT, vol.44 No.5, 2023최현수
◾ PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, vol.20 No.1 pp.331~342, 2023최현수
◾ Multi-View Computed Tomography Network for Osteoporosis Classification, IEEE ACCESS, vol.11 pp.22297~22306, 2023최현수
Conference Papers
- Towards a Rigorous Evaluation of Time-series Anomaly Detection, Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
- Towards High Generalization Performance on Electrocardiogram Classification, Proceedings of Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021
- Bag of Tricks for Electrocardiogram Classification with Deep Neural Networks, Proceedings of Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020, Hawaii, USA, February 2021
- AnomiGAN: Generative adversarial networks for anonymizing private medical data, Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2020
- Towards High Generalization Performance on Electrocardiogram Classification, Proceedings of Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021
- Bag of Tricks for Electrocardiogram Classification with Deep Neural Networks, Proceedings of Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020, Hawaii, USA, February 2021
- AnomiGAN: Generative adversarial networks for anonymizing private medical data, Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2020
◾ 홍원석, 박인서, 이현원, 홍권, 최현수, Research trends in medical image artificial intelligence-related Foundation models, 2024년도 한국통신학회 동계종합학술발표회, 용평리조트, 2024최현수
◾ 이현원, 홍권, 홍원석, 최현수, A Advances of Causal Inference in Machine Learning and Deep Learning, KICS Winter Conference 2024, 용평리조트, 2024최현수
◾ 홍권, 이현원, 홍원석, 최현수, Continual Learning Methodology and Latest Research Trends, KICS Winter Conference 2024, 용평리조트, 2024최현수
◾ Hyun-Soo Choi; Gwiseong Moon; Donghwan Hwang; Doohee Lee; Yeonjin Jeong; Yoon Kim; Woo Jin Kim; Kunyong Sung; Jongwoo Han; Heecheol Kim; Jungsub Oh; Sanghyun Jo;, FaBoA: Computed Tomography-based Facial Bone Fracture Analysis Solution, Head & Neck Imaging Monday Poster Discussions II, McCormick Place, Chicago, 2023최현수
◾ Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon*, On the Impact of Knowledge Distillation for Model Interpretability, Proceedings of 40th International Conference on Machine Learning (ICML), Honolulu, 2023최현수